Why I'm Writing
A short intro on what this blog is for and what you can expect from it.
I've been meaning to start writing for a while. Not because I think I have something uniquely profound to say, but because putting things into words forces a kind of clarity that I don't get from just thinking about them.
What I actually do
I'm a qualified actuary — 15 years in the APAC region, mostly in risk consulting. That means I've spent a lot of time helping organisations understand what could go wrong, how likely it is, and what it would cost them if it did.
Outside of that, I've been quietly obsessing over machine learning for a few years now. Not as a replacement for actuarial work, but as something that sits alongside it — sometimes usefully, sometimes not.
What this blog will cover
Mostly those two things and the space between them:
- Risk management — what I'm seeing in APAC, what's changing, what isn't
- AI and ML — practical stuff, not hype. What actually works in an actuarial context
- The intersection — where these two worlds meet, and where they really don't
- Occasionally personal — I'm also a sports enthusiast and a dad, and those things sometimes connect to how I think about risk and uncertainty
Why now
The actuarial profession is at an interesting inflection point. The tools that have served us well for decades are being challenged by AI — in some cases enhanced by it, in others replaced. I think that tension is worth writing about honestly, without either dismissing AI or overselling it.
If you're a fellow actuary curious about where this is all going, or a data person who wants to understand how risk management actually works in practice, I hope you find something useful here.
Either way — thanks for reading.